get_sequence_stats
Get statistics for a sequence. The steps array is the per-step breakdown: one entry per email step in graph order with its step number, automation nodeId, subject, and its own sent, delivered, bounced, opened, clicked, replies, and unsubscribed counts plus rates - so this is where you read how ma...
This record as markdown: /tools/io-github-polnikale-sequenzy-mcp/get-sequence-stats.md
What get_sequence_stats does on Sequenzy Mcp
AI agents call get_sequence_stats to retrieve information from Sequenzy Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_sequence_stats is rated Low
Tool retrieves aggregated sequence statistics and metrics without modifying, deleting, or executing operations.
From the tool's definition Get statistics, per-step breakdown, read how many emails sent, step counts from event stream
Attacks that exploit this kind of access
The rule that runs get_sequence_stats safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sequenzy Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_sequence_stats, this is the rule to start with:
get_sequence_stats is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Sequenzy Mcp, apply this rule, and every get_sequence_stats call is checked against it from then on.
Questions about get_sequence_stats
Get statistics for a sequence. The steps array is the per-step breakdown: one entry per email step in graph order with its step number, automation nodeId, subject, and its own sent, delivered, bounced, opened, clicked, replies, and unsubscribed counts plus rates - so this is where you read how many of Email 4 went out, without reconstructing anything from list_sequence_events. Step counts come from the retained event stream, not the 14-day delivery history behind list_email_sends, so they stay answerable for old sends. Also returns the aggregate funnel across every step, attributed conversions and revenue (revenueCents), product recommendation funnel metrics, per-step failed subscribers and failure reasons, and enrollmentSkipped counts for trigger matches where the contact could not be enrolled (unsubscribed/bounced). Pass period or start/end to use one explicit window for every historical metric; without them, step and aggregate counts are all-time and enrollmentSkipped defaults to the last 30 days. The enrollmentCounts field is a live snapshot of active and waiting enrollments grouped by current node, so it is not limited by period or start/end. To compare the same step across many sequences in one call, use list_email_metrics instead. It is categorised as a Read tool in the Sequenzy Mcp MCP Server, which means it retrieves data without modifying state.
Register the Sequenzy MCP server in PolicyLayer and add a rule for get_sequence_stats: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Sequenzy Mcp. Nothing to install.
get_sequence_stats is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_sequence_stats rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_sequence_stats. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_sequence_stats is provided by the Sequenzy MCP server (Sequenzy/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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